Prognostic modeling for patients with colorectal liver metastases incorporating FDG PET radiomic features.

ABSTRACT:

Objective

We aimed to improve prediction of outcome for patients with colorectal liver metastases, via prognostic models incorporating PET-derived measures, including radiomic features that move beyond conventional standard uptake value (SUV) measures.

Patients and methods

A range of parameters including volumetric and heterogeneity measures were derived from FDG PET images of 52 patients with colorectal intrahepatic-only metastases (29 males and 23 females; mean age 62.9 years [SD 9.8; range 32-82]). The patients underwent PET/CT imaging as part of the clinical workup prior to final decision on treatment. Univariate and multivariate models were implemented, which included statistical considerations (to discourage false discovery and overfitting), to predict overall survival

SUBMITTER: Rahmim A 

PROVIDER: S-EPMC7507885 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature